Download SensorLog for PC

1. Depending on the network speed and the server or client configuration used, this is possible with up to 100Hz. - Via HTTP(S) GET/POST request, sensor data in JSON format (POST) or form-url encoded (POST and GET) can be transmitted to a REST API with up to 20Hz. - With the SensorLog Remote Client/Server function, an iPad or iPhone can connect as a SensorLog Remote Client to an iPhone or iPad, which takes on the role of SensorLog Remote Server.

2. A connected iPhone with LAN/WAN connection is required. - Via HTTP(S) GET/POST request, sensor data can be transmitted to a REST API with up to 10Hz in JSON format (POST) or form-url encoded (POST and GET). - With the SensorLog Remote Client function, the sensor data can be sent to an iPhone or iPad with an activated SensorLog Remote Server function and visualized there.

3. The connected SensorLog Remote Server can start and stop logging on the watch as request sending the sensor data. - The Health Store data feature off the SensorLog Watch app allows you to export HealthKit data like heart rate, energy burned, sleep, and movement data.

4. The client's sensor data can be visualized on the server, and the server can control the clients (start/stop logging, start/stop sending data). - Logging can be started and stopped using Siri and shortcuts. - SensorLog supports Core ML models created with Apple's Create ML app.

5. The sensor data can be saved as a file in CSV or JSON format, streamed via TCP/UDP or sent as an HTTP request. - Sensor data can be recorded at up to 100Hz (depending on the iOS device version and sensor type). - Sensor data can be streamed in server or client mode using TCP or UDP.

6. This data is automatically recorded by your Watch and can be read out and exported by SensorLog as csv or json file and transferred to your iPhone. - Logging can be started and stopped using Siri and Shortcuts.

7. Supported Create ML models are: Activity Classifier, Tabular Regressor and Tabular Classifier. - If you have an Apple Watch, HealthKit data such as heart rate, energy used, sleep and movement data can be exported on the watch as a csv or json file and then transferred to your iPhone.

8. With SensorLog you can read sensor data from the iPhone, iPad and Apple Watch.

9. Simultaneous logging of all selectable sensor data is supported in the background with up to 50Hz.

10. Log data with SensorLog, train a model with the data in Create ML, load exported models in SensorLog and log the model prediction.

11. Streaming and HTTP requests are only supported when the app is in the foreground. - Depending on the network speed, the server configuration used and the selected logging option, streaming is possible at up to 100Hz.